Online Maximum-Likelihood Mean and Variance Normalization for Speech Recognition

A method for speech recognition implemented as a plurality of computer processes functioning in a computer processor, the method comprising:

• in one or more computer processes:
• processing an input speech utterance to produce a sequence of representative speech vectors;
• and
• performing a single time-synchronous speech recognition pass using a decoding search to determine a recognition output corresponding to the speech input, the decoding search including:
• i. for each speech vector after some first threshold number of speech vectors, estimating a feature transform based on the preceding speech vectors in the utterance and partial decoding results of the decoding search,
• ii. adjusting a current speech vector based on the feature transform, and
• iii. using the adjusted current speech vector in a current frame of the decoding search.